Desarrollo de una aplicación para detección de placas vehiculares del Ecuador.

Abstract

Over the last few years, a large migration occurred from the countryside to the cities, which have become the center of activity of civilizations. However, the rising number of citizens has caused a significant problem because the existing infrastructure is not enough to cover the basic needs. Because of that, the administrations look for solutions through technology, that has evolved along with the growth of the cities, researching how to provide the necessary services in an efficient way and at low cost. One of the developed concepts, in the mobility area, is the Smart Parking which consists of giving the needed information to the user to reduce the time he/she spent looking for a place to park, additionally, it also helps to speed up the entry and exit to these sites by using tools like sensors, cameras, artificial intelligence, among others. In this perspective, one of the applications developed for Smart Parking is the license plate recognition, technology that prevents the driver from having to wait in the process of entering and exiting a parking lot. Nevertheless, the performance of the application depends on the characteristics each countries’ plates. It is because of that, this work has developed a system that allows the detection and recognition of Ecuadorian vehicles plates, using the framework Scrum. Afterwards, with the developed system, a set of tests was performed to establish the efficiency, getting that the recognition of plate location is 85% and the recognition of the characters is about 100% with the solution.